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The impact of horizontal heterogeneities, cloud fraction, and liquid water path on warm cloud effective radii from CERES-like Aqua MODIS retrievals

机译:水平非均质性,云量分数和液态水路径对像CERES的Aqua MODIS取暖云有效半径的影响

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The impact of horizontal heterogeneities, liquid water path (LWP from AMSR-E), and cloud fraction (CF) on MODIS cloud effective radius (re), retrieved from the 2.1 μm (re2.1) and 3.8 μm (re3.8) channels, is investigated for warm clouds over the southeast Pacific. Values of re retrieved using the CERES algorithms are averaged at the CERES footprint resolution (~20 km), while heterogeneities (Hσ) are calculated as the ratio between the standard deviation and mean 0.64 μm reflectance. The value of re2.1 strongly depends on CF, with magnitudes up to 5 μm larger than those for overcast scenes, whereas re3.8 remains insensitive to CF. For cloudy scenes, both re2.1 and re3.8 increase with Hσ for any given AMSR-E LWP, but re2.1 changes more than for re3.8. Additionally, re3.8-re2.1 differences are positive (<1 μm) for homogeneous scenes (Hσ < 0.2) and LWP > 45 gm-2, and negative (up to -4 μm) for larger Hσ. While re3.8-re2.1 differences in homogeneous scenes are qualitatively consistent with in situ microphysical observations over the region of study, negative differences - particularly evinced in mean regional maps - are more likely to reflect the dominant bias associated with cloud heterogeneities rather than information about the cloud vertical structure. The consequences for MODIS LWP are also discussed.
机译:水平异质性,液态水路径(来自AMSR-E的LWP)和云量分数(CF)对从2.1μm(r)中获得的MODIS云有效半径( r e)的影响 e2.1)和3.8μm( r e3.8)通道,研究了东南太平洋上空的暖云。使用CERES算法检索的 r e值在CERES足迹分辨率(〜20 km)处取平均值,而异质性( H σ)则作为标准值之间的比率进行计算偏差和平均反射率为0.64μm。 r e2.1的值在很大程度上取决于CF,其幅度比阴暗场景的幅度大5μm,而 r e3.8仍然对CF不敏感。对于阴天,对于任何给定的AMSR-E LWP, r e2.1和 r e3.8均随 H σ的增加而增加,但 r e2.1的变化要大于 r e3.8的变化。此外,对于均匀场景( H σ<0.2), r e3.8- r e2.1差异为正(<1μm),并且LWP> 45 gm-2,对于 H σ较大,为负(最大-4μm)。尽管均匀场景中的 r e3.8- r e2.1差异与研究区域内的原位微物理观测在质量上是一致的,但负差异-特别是在平均区域地图-更有可能反映与云异质性相关的主导偏差,而不是有关云垂直结构的信息。还讨论了MODIS LWP的后果。

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